Publications by authors named "M L Marinovich"
Background: There is limited evidence on the performance of digital breast tomosynthesis (DBT) in populations at increased risk of breast cancer. Our objective was to systematically review evidence on the performance of DBT versus digital mammography (DM) in women with a family history of breast cancer (FHBC).
Methods: We searched 5 databases (2011-January 2024) for studies comparing DBT and DM in women with a FHBC that reported any measure of cancer detection, recall, sensitivity and specificity.
Article Synopsis
- - High breast density increases the risk of breast cancer and reduces the effectiveness of mammography, prompting this review to analyze clinical guidelines for screening women with dense breasts.
- - The systematic review included 23 guidelines from 2014 to 2024, finding variability in quality and recommendations: most suggest annual or biennial mammograms for women over 40, while a few endorse advanced screening methods like tomosynthesis or MRI.
- - There's a lack of consensus on supplemental screening practices, with many guidelines relying on low-quality evidence; improvements in the quality of future guidelines are necessary as the understanding of screening benefits continues to evolve.
Objectives: We aimed to synthesise evidence from prospective studies of digital breast tomosynthesis (DBT) screening to assess its effectiveness compared to digital mammography (DM). Specifically, we examined whether DBT reduces interval cancer rates (ICRs) in population breast cancer screening.
Materials And Methods: We performed a systematic review and meta-analysis of DBT screening studies (identified from January 2013 to March 2024).
Background: Biopsy-proven breast lesions such as atypical ductal hyperplasia (ADH) or atypical lobular hyperplasia (ALH), lobular carcinoma in situ (LCIS) and flat epithelial atypia (FEA) increase subsequent risk of breast cancer (BC), but long-term risk has not been synthesized. A systematic review was conducted to quantify future risk of breast cancer accounting for time since diagnosis of these high-risk lesions.
Methods: A systematic search of literature from 2000 was performed to identify studies reporting BC as an outcome following core-needle or excision biopsy histology diagnosis of ADH, ALH, LCIS, lobular neoplasia (LN) or FEA.
Artificial intelligence (AI) algorithms have been retrospectively evaluated as replacement for one radiologist in screening mammography double-reading; however, methods for resolving discordance between radiologists and AI in the absence of 'real-world' arbitration may underestimate cancer detection rate (CDR) and recall. In 108,970 consecutive screens from a population screening program (BreastScreen WA, Western Australia), 20,120 were radiologist/AI discordant without real-world arbitration. Recall probabilities were randomly assigned for these screens in 1000 simulations.
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